Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Mohammed A. Alliheedi"'
Publikováno v:
Journal of Information Security and Cybercrimes Research, Vol 7, Iss 1, Pp 85-92 (2024)
In this work, two categories of deep learning and conventional machine learning were used to classify malware using a dataset of all possible API call sequences. Specifically, the objective was to determine the best strategy to tackle the ever-rising
Externí odkaz:
https://doaj.org/article/238bfabe9fe14facbaa086c22ad1681a
Autor:
Amal Alshardan, Mashael Maashi, Sultan M. Alanazi, Abdulbasit A. Darem, Hany Mahgoub, Mohammed A. Alliheedi, Menwa Alshammeri
Publikováno v:
IEEE Access, Vol 12, Pp 158322-158332 (2024)
With the enlarging number of transports on the road and fast growth, traffic flow is a significant current worry that obstructs the financial system’s evolution and affects the quality of life. Intelligent Transportation Systems (ITS) utilize innov
Externí odkaz:
https://doaj.org/article/19439662e06b4bc4b727c90d2d74f6e1
Autor:
Robert Leaman, Rezarta Islamaj, Virginia Adams, Mohammed A Alliheedi, João Rafael Almeida, Rui Antunes, Robert Bevan, Yung-Chun Chang, Arslan Erdengasileng, Matthew Hodgskiss, Ryuki Ida, Hyunjae Kim, Keqiao Li, Robert E Mercer, Lukrécia Mertová, Ghadeer Mobasher, Hoo-Chang Shin, Mujeen Sung, Tomoki Tsujimura, Wen-Chao Yeh, Zhiyong Lu
Publikováno v:
Database (Oxford)
The BioCreative National Library of Medicine (NLM)-Chem track calls for a community effort to fine-tune automated recognition of chemical names in the biomedical literature. Chemicals are one of the most searched biomedical entities in PubMed, and—
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5838ceca62b71cd42bdaabd33e73716c
https://europepmc.org/articles/PMC9991492/
https://europepmc.org/articles/PMC9991492/